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Configure event dispatcher

This topic describes how to configure the event dispatcher for HTTP requests made from every impression or conversion in the Optimizely React Native SDK.

The Optimizely SDKs make HTTP requests for every impression or conversion that gets triggered. The React Native SDK has a built-in event dispatcher for handling these events.

You can customize the event dispatcher you use in production to have more control over the way the SDK sends events so that it scales to the volumes handled by your application. Customizing the event dispatcher allows you to handle large event volumes efficiently, or to implement retry logic when a request fails. You can build your dispatcher from scratch or start with the provided dispatcher.

The examples below show how to initialize the Optimizely client (or manager) with an event dispatcher instance:

import { createInstance, eventDispatcher } from '@optimizely/react-sdk';

// Create an Optimizely client with the default event dispatcher
// Note: If you don't pass eventDispatcher, this default event dispatcher
// will be used automatically. This is just to demonstrate how to provide
// an event dispatcher when creating an instance.
const optimizely = createInstance({
  datafile: optimizelyDatafile, // assuming you have a hardcoded datafile
  eventDispatcher: eventDispatcher,

The event dispatcher should implement a dispatchEvent function, which takes in three arguments:

  • httpVerb
  • url
  • params

These arguments are created by the internal EventBuilder class. In this function, you should send a POST request to the given url using the params as the body of the request (be sure to stringify it to JSON) and {content-type: 'application/json'} in the headers.



If you are using a custom event dispatcher, do not modify the event payload returned from Optimizely. Modifying this payload will alter your results.

You can also persistent & queue events offline, then dispatch them when your React Native application regains Internet connectivity. For more information, see Event batching.